Improved curvature estimation for shape analysis in computer-aided detection of colonic polyps

Authors:
Hongbin Zhu;Yi Fan;Zhengrong Liang
Affiliations:
Department of Radiology, State University of New York, Stony Brook, NY;Department of Radiology, State University of New York, Stony Brook, NY;Department of Radiology, State University of New York, Stony Brook, NY
Venue:
MICCAI'10 Proceedings of the Second international conference on Virtual Colonoscopy and Abdominal Imaging: computational challenges and clinical opportunities
Year:
2010

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Abstract

In current methods of computer-aided detection (CAD) of colonic polyps, curvature-based shape measures, like the shape index, curvedness, sphericity ratio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed when the kernel contains two surfaces (this happens for objects like a thin slab, sphere, etc.). In this study, we adapted the Knutsson mapping method to solve this problem, so that we can improve the curvature estimation for CAD of colonic polyps in virtual colonoscopy.